Range of interaction in an opinion evolution model of ideological self-positioning: Contagion, hesitance and polarization

Giménez, M. Cecilia; García, Ana Pamela Paz; Paci, Maxi A. Burgos; Reinaudi, Luis

doi:10.1016/j.physa.2015.12.020

Cited by 5 publications

(4 citation statements)

References 32 publications

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“…They can be enriched with the inclusion of a third state, o = 0, representing neutral state or indecision. Indecision is a current and rising phenomenon which affects both recent and consolidated democracies [28]. Many reasons can lead an individual to become neutral or undecided, for example it can be associated to an anticonformism/nonconformism to the proposals on both sides of the debate.…”

Section: Introductionmentioning

confidence: 99%

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Noise-induced absorbing phase transition in a model of opinion formation

Vieira

Crokidakis

2016

Physics Letters A

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In this work we study a 3-state (+1, −1, 0) opinion model in the presence of noise and disorder. We consider pairwise competitive interactions, with a fraction p of those interactions being negative (disorder). Moreover, there is a noise q that represents the probability of an individual spontaneously change his opinion to the neutral state. Our aim is to study how the increase/decrease of the fraction of neutral agents affects the critical behavior of the system and the evolution of opinions. We derive analytical expressions for the order parameter of the model, as well as for the stationary fraction of each opinion, and we show that there are distinct phase transitions. One is the usual ferro-paramagnetic transition, that is in the Ising universality class. In addition, there are para-absorbing and ferro-absorbing transitions, presenting the directed percolation universality class. Our results are complemented by numerical simulations.

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Section: Introductionmentioning

confidence: 99%

“…Many reasons can lead an individual to become neutral or undecided, for example it can be associated to an anticonformism/nonconformism to the proposals on both sides of the debate. The impact of indecision/neutrality was considered recently in many works [8,12,17,28,29,30,31,32,33].…”

Section: Introductionmentioning

confidence: 99%

Noise-induced absorbing phase transition in a model of opinion formation

Vieira

Crokidakis

2016

Physics Letters A

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“…According to some scholars, polarization phenomenon refers to the social phenomenon that the viewpoint of most individuals is extreme in the group. The degree of group polarization is measured by the proportions of extreme viewpoint in the group [5,6]. The polarization phenomenon can be measured by analysing the average values of individual emotions at the very beginning of an event and after the occurrence of group polarization.…”

Section: Research Status Of Online Public Opinion Group Polarizationmentioning

confidence: 99%

Research on the construction of quantitative index of microblog group polarization in university public opinion events

Mengke

Liu

2021

The Journal of Engineering

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We Media" have enabled netizens to express their opinions in a freer and more convenient way. Netizens' speech tends to be deviated after group discussion, resulting in online public opinion group polarization and irrational behaviours. Here, a quantitative index of Microblog public opinion group polarization has been established based on the sentiment analysis of the comment text, the popularity of comments and the interaction of users' @. Besides, the effectiveness of such index has been verified by simulation experiment, aiming to provide decision-making thinking and method guidance for Microblog public opinion group polarization determination.On the Internet, some marketing accounts of "We Media" are quite easy to push with fragmental verbal information of a certain topic to the extreme within a short time. Under the environment of high public sentiment, netizens are likely to be coerced by simple arbitrary sentimental languages. In China, the public's urgent needs for high quality higher education resources have made news events in colleges and universities to win the public's close attention. Most colleges and universities attach great importance to their image-building. In recent years, however, occasional negative news in colleges and universities has developed into online public opinion events with the boost of the Internet. It has had a huge impact on the reputation of the school and brought a great challenge to the image crisis management in colleges and universities. If Internet rumours can be identified in time, we can communicate with netizens in time to eliminate misunderstandings,more time will be earned for crisis management. Thus, the school's reputation can be maintained. In this paper, related causes for public opinion group polarization will be analysed. On this basis, we will also explore a group polarization behaviour pattern and establish a quantitative index for group polarization. With public opinion events in a Chinese university as an example, the effectiveness of the method in this paper will be verified as well.

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“…In an attempt to model more realistic scenarios, many variations of the VM have been proposed and studied (see reviews [ 4 , 5 ] and references therein). Some examples include multiple opinion states [ 6 , 7 , 8 ], individual heterogeneity and stubbornness [ 9 ], opinion leaders and zealots [ 10 ], and complex interaction topologies that could be static [ 11 , 12 , 13 ] or evolve in time [ 14 , 15 , 16 ]. In particular, it is expected that opinion patterns in real life resemble those of coexistence of both opinions, rather than a perfect consensus of a single opinion.…”

Section: Introductionmentioning

confidence: 99%

Contrarian Voter Model under the Influence of an Oscillating Propaganda: Consensus, Bimodal Behavior and Stochastic Resonance

Giménez

Reinaudi

Vázquez

2022

Entropy

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We study the contrarian voter model for opinion formation in a society under the influence of an external oscillating propaganda and stochastic noise. Each agent of the population can hold one of two possible opinions on a given issue—against or in favor—and interacts with its neighbors following either an imitation dynamics (voter behavior) or an anti-alignment dynamics (contrarian behavior): each agent adopts the opinion of a random neighbor with a time-dependent probability p(t), or takes the opposite opinion with probability 1−p(t). The imitation probability p(t) is controlled by the social temperature T, and varies in time according to a periodic field that mimics the influence of an external propaganda, so that a voter is more prone to adopt an opinion aligned with the field. We simulate the model in complete graph and in lattices, and find that the system exhibits a rich variety of behaviors as T is varied: opinion consensus for T=0, a bimodal behavior for T<Tc, an oscillatory behavior where the mean opinion oscillates in time with the field for T>Tc, and full disorder for T≫1. The transition temperature Tc vanishes with the population size N as Tc≃2/lnN in complete graph. In addition, the distribution of residence times tr in the bimodal phase decays approximately as tr−3/2. Within the oscillatory regime, we find a stochastic resonance-like phenomenon at a given temperature T*. Furthermore, mean-field analytical results show that the opinion oscillations reach a maximum amplitude at an intermediate temperature, and that exhibit a lag with respect to the field that decreases with T.

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Range of interaction in an opinion evolution model of ideological self-positioning: Contagion, hesitance and polarization

Cited by 5 publications

References 32 publications

Noise-induced absorbing phase transition in a model of opinion formation

Noise-induced absorbing phase transition in a model of opinion formation

Research on the construction of quantitative index of microblog group polarization in university public opinion events

Contrarian Voter Model under the Influence of an Oscillating Propaganda: Consensus, Bimodal Behavior and Stochastic Resonance

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